DocumentCode :
2563880
Title :
A Recognition Approach for Adversarial Planning Based on Complete Goal Graph
Author :
Yin, Ji-Li ; Liu, Ying ; Wang, Jin-yan ; Gu, Wen-xiang ; Zhang, Yin-Ping
fYear :
2007
fDate :
15-19 Dec. 2007
Firstpage :
286
Lastpage :
290
Abstract :
Based on classical plan graph and goal graph, complete goal graph (CGG) is constructed against the characteristics of adversarial domain. The complete goal graph makes the action relate with its goal directly, which is more efficient to recognize adversarial goals. The conception of complete degree of goals will be put forward to distinguish adversarial high level goals. Then, a deep research is done on adversarial plan recognition algorithm based on CGG, which not only can predict adversarial next step action, but also can recognize adversarial goals in different levels with complete degrees. The research is of great significance for the plan recognition problem of uncontrollable and nondeterministic domain such as contest robot, information security, business strategy, game role design and etc.
Keywords :
Character recognition; Computational intelligence; Computer science; Computer security; Concrete; Equations; Game theory; Information security; Libraries; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2007 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
0-7695-3072-9
Electronic_ISBN :
978-0-7695-3072-7
Type :
conf
DOI :
10.1109/CIS.2007.91
Filename :
4415349
Link To Document :
بازگشت